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Stability and Hopf Bifurcation of a General Delayed Recurrent Neural Network

Author
WENWU YU1 2 ; JINDE CAO1 ; GUANRONG CHEN2
[1] Department of Mathematics, Southeast University, Nanjing 210096, China
[2] Department of Electronic Engineering, City University of Hong Kong, Hong-Kong
Source

IEEE transactions on neural networks. 2008, Vol 19, Num 5, pp 845-854, 10 p ; ref : 39 ref

CODEN
ITNNEP
ISSN
1045-9227
Scientific domain
Electronics; Computer science; Psychology, psychopathology, psychiatry
Publisher
Institute of Electrical and Electronics Engineers, New York, NY
Publication country
United States
Document type
Article
Language
English
Author keyword
Hopf bifurcation frequency domain approach harmonic balance recurrent neural network stability
Keyword (fr)
Bifurcation Hopf Equation caractéristique Harmonique Modélisation Méthode domaine fréquence Représentation graphique Retard Réseau neuronal récurrent Réseau neuronal Solution périodique Temps retard Valeur critique
Keyword (en)
Hopf bifurcation Characteristic equation Harmonic Modeling Frequency domain method Graphics Delay Recurrent neural nets Neural network Periodic solution Delay time Critical value
Keyword (es)
Bifurcación Hopf Ecuación característica Armónica Modelización Método dominio frecuencia Grafo (curva) Retraso Red neuronal Solución periódica Tiempo retardo Valor crítico
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C06 Connectionism. Neural networks

Discipline
Computer science : theoretical automation and systems
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
20318436

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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